91 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "Dr" positions at Cranfield University in United Kingdom
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programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking
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We are seeking a highly motivated candidate to undertake a PhD program titled "3D Temperature Field Reconstruction from Local Temperature Monitoring in Directed Energy Deposition." This exciting
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Application Deadline 8 Mar 2026 - 23:59 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time Hours Per Week 37 Is the job funded through the EU Research Framework Programme
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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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Apply online now at https://jobs.cranfield.ac.uk or contact us for further details on (E): peoplerecruitment@cranfield.ac.uk . Please quote reference number 5245. Closing date for receipt of applications
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Deadline 1 Mar 2026 - 00:00 (Europe/London) Country United Kingdom Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU programme Reference
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academic and industrial. Please check the hub website for further details: https://www.liverpool.ac.uk/energy-transfer-skills-training-hub
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through the EU Research Framework Programme? Not funded by a EU programme Reference Number 5183 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty
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through the EU Research Framework Programme? Not funded by a EU programme Reference Number 5182 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty
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confidence, safety, and reliable shared decision-making. To achieve this, the programme offers two closely connected research directions. The first area focuses on real-time multimodal human trust sensing